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Human Computer Interaction Research Jobs (NOW HIRING)

Intuitive

Senior Interaction Designer

Sunnyvale, CA · On-site

Bachelor's or Master's degree in Interaction Design, Human-Computer Interaction, Human Factors, or equivalent Preferred Skills and Experience * Demonstrated expertise across the full design lifecycle ...

Perdurable AI

AI Research Scientist

San Francisco, CA · On-site

$125 - $150/hr

Stay current with state-of-the-art research in computer vision and human-computer interaction * Publish research findings in top-tier conferences and journals Requirements * PhD or MS in Computer ...

Intuitive

Senior Interaction Designer

Sunnyvale, CA · On-site

Bachelor's or Master's degree in Interaction Design, Human-Computer Interaction, Human Factors, or equivalent Preferred Skills and Experience * Demonstrated expertise across the full design lifecycle ...

Apple Inc.

$200 - $250/hr

... computer interaction. * 3 years of relevant research work experience managing human factors projects and driving research programs cross-functionally and independently. * Expertise in creating ...

Apple

Human Factors Engineer / Researcher

Cupertino, CA · On-site +1

$150K - $277K/yr

We are the Human Factors team, focusing on designing and conducting research to understand our ... computer interaction. 5 years of relevant work experience managing projects and driving research ...

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Human Computer Interaction Research information

What is human computer interaction research?

A Human-Computer Interaction (HCI) Research job involves studying how people interact with computers and designing systems that enhance user experience. Researchers analyze user behaviors, usability, and accessibility to improve technology interfaces. They often conduct experiments, user studies, and prototype testing to develop intuitive and efficient digital products. HCI researchers work in academia, industry, or tech companies, contributing to fields like UX design, artificial intelligence, and virtual reality.

What are the typical daily responsibilities of someone working in human computer interaction research?

A typical day in Human Computer Interaction Research often involves designing and conducting user studies, analyzing user interactions with digital systems, and synthesizing data to identify usability issues and improvement opportunities. Professionals in this field regularly collaborate with designers, engineers, and product managers to translate research findings into actionable design recommendations. You may also create prototypes, prepare detailed research reports, and present results to stakeholders. This dynamic role requires balancing hands-on research with cross-functional teamwork to ensure products and systems meet user needs effectively.

What are the key skills and qualifications needed to thrive in human computer interaction research, and why are they important?

To thrive in Human Computer Interaction Research, you need a strong background in user-centered design, psychology, computer science, and typically a relevant graduate degree such as HCI, cognitive science, or a related field. Experience with usability testing tools, prototyping software (such as Figma or Axure), and familiarity with programming languages like Python or JavaScript are valuable, along with knowledge of research methodologies. Excellent communication, critical thinking, and collaboration skills are essential for conveying research findings and working effectively with multidisciplinary teams. These skills are crucial to designing intuitive interfaces and improving user experiences based on data-driven insights.

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Human Computer Interaction Research jobs near you
Infographic showing various Human Computer Interaction Research job openings in the United States as of August 2026, with employment types broken down into 20% Internship, and 80% Full Time. Highlights an 100% In-person job distribution.

Post Doctoral Fellow - Human-Centered AI for Mental Health and Support Services Training

Carnegie Mellon University

Pittsburgh, PA • On-site

$47K - $64K/yr

Full-time

Re-posted 24 days ago

Key responsibilities

  • Conduct interdisciplinary research to develop and evaluate AI-powered training environments for mental health, well-being, customer service, and interpersonal skills.

  • Design, implement, and assess prototypes using user-centered and iterative design approaches, including mixed-method analyses and field trials.

  • Collaborate with practitioners, industry partners, and interdisciplinary teams to create scalable solutions that enhance skills acquisition and workplace outcomes.

Carnegie Mellon University rating

8.8

Company rating: 8.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

35th of 631 rated colleges and universities

Job description

Description
The Human-Computer Interaction Institute (HCII) at Carnegie Mellon University (CMU) invites applications for a two-year Postdoctoral Fellowship focused on advancing human-centered AI in training environments that support well-being, customer service, and interpersonal skills. The position offers a unique opportunity to conduct cutting-edge, interdisciplinary research at the intersection of psychology, education, organizational behavior, and artificial intelligence. The goal is to integrate expertise in mental health, customer service, digital therapeutics, and AI to create impactful, scalable solutions for training and support in real-world settings.
Robert Kraut, Haiyi Zhu, Sherry Wu, and Yi-Chia Wang in the Human-Computer Interaction Institute at CMU and Diyi Yang in the computer science department at Stanford University are available as mentors. Initial positions will be full-time in Pittsburgh, PA. CMU offers a vibrant interdisciplinary research environment across the Human-Computer Interaction Institute, Language Technologies Institute, and School of Computer Science, with extensive opportunities for collaboration, mentorship, and professional development.
Project Overview:
Our projects try to understand the needs for, develop deployable systems, and study the impact of AI-powered training environments designed to enhance psychosocial skills in real-world settings:
- Mental health and well-being: Collaborating with large-scale online support platforms (e.g., 7Cups), we are developing prototypes that use LLM and conversational agents to deliver scalable, experiential micro-skills training (such as empathy, active listening, and feedback) for mental health providers. Our goal is to improve access, efficacy, and personalization in mental health and support interventions.
- Customer support and workplace training: Partnering with industry leaders (e.g., Teleperformance), we design simulation-based conversational training for customer service representatives and their supervisors. These environments help train staff in complex social scenarios, stress management, and de-escalation skills, using realistic virtual agents and personalized feedback.
The postdoctoral researcher will use a user-centered, iterative design approach, co-developing with frontline practitioners and conducting robust evaluations, such as mixed-method analyses and field trials, to assess the impact of end-to-end prototypes on skills acquisition, workplace outcomes, and client wellbeing.
Qualifications
Required Qualifications:
Applicants should have:
• Expertise in a relevant research field, such as health/clinical/counseling psychology, human communication research, human-computer interaction, social psychology, organizational behavior, or education.
• Track record of empirical research with practitioners or end-users in relevant contexts.
• Strong research record, with publications in leading conferences or journals.
Preferred Qualifications:
We are especially excited about candidates who have:
• Interest in or experience with AI/NLP-powered training systems.
• Practical experience in a relevant application domain, including mental health/therapy, well-being interventions, education/coaching, or customer support training.
• Experience designing, implementing and evaluating technology-based training.
• Experience designing and running random-assignment experiments or clinical trials
• Familiarity with user-centered, participatory co-design or mixed-methods research.
• Experience collaborating with platform or industry partners, or in translating research to practice.
• Passion for interdisciplinary work and translational research bridging domain expertise and digital innovation.
Application Instructions
Applicants should submit the following:
• A CV
• At least two letters of reference
• A 2-page research statement describing your interests and domain expertise and their fit with the aims of our AI-driven training research
Applications will be reviewed on a rolling basis until the position is filled.

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